Best Model Risk Management Software with a Free Trial of 2024

Find and compare the best Model Risk Management software with a Free Trial in 2024

Use the comparison tool below to compare the top Model Risk Management software with a Free Trial on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Quantivate Reviews
    Quantivate has been helping organizations efficiently manage their governance, risk, and compliance (GRC) initiatives since 2005. Quantivate’s scalable technology and service solutions equip organizations of all sizes to make more strategic decisions, improve performance, and reduce costs. Learn about how Quantivate’s integrated platform can simplify GRC management at quantivate.com.
  • 2
    Datatron Reviews
    Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.
  • 3
    Krista Reviews
    Krista is an intelligent automation platform that does not require any programming knowledge. It orchestrates your people and apps to optimize business results. Krista integrates machine learning and other apps faster than you could imagine. Krista was designed to automate business outcomes and not back-office tasks. Optimizing outcomes requires that you span departments and apps, deploy AI/ML for autonomous decision making, leverage your existing task automation, and enable constant change. Krista digitizes entire processes to deliver organization-wide, bottom line impact. Automating your business faster and reducing the IT backlog is a good idea. Krista significantly reduces TCO when compared to your existing automation platform.
  • 4
    IBM watsonx.governance Reviews
    Every model requires governance to ensure ethical and responsible decision-making in the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization's AI activities. It uses software automation to enhance your ability to mitigate risk, manage regulatory requirements, and address ethical concerns when it comes to both generative AI (ML) and machine learning models. Access automated and scalable compliance, governance and risk tools that cover financial management, IT governance, IT governance, operational risk and policy management. Proactively detect model risks and mitigate them while translating AI regulations to enforceable policies that can be enforced automatically.
  • 5
    PolicyHub Reviews
    Mitratech's PolicyHub is a policy management platform that solves difficult policy and procedure problems. PolicyHub is cost-effective and complete. It includes features like policy management, automated knowledge assessments and audit, as well as reporting. PolicyHub gives organizations the edge they need to demonstrate corporate responsibility and implement a defensible compliance program. PolicyHub allows users to instantly respond to audits or investigations by creating detailed reporting.
  • 6
    ClusterSeven Reviews
    ClusterSeven Shadow IT manager gives you control over hidden spreadsheets and other data assets that could put your business at risk. Manage the sensitive, hidden spreadsheets, apps, and data assets that are not under IT's control. This can create risk. You can now quickly and efficiently take inventory of files that your organization relies on and monitor who is making changes. This will help you to meet compliance and audit requirements, and prevent potential problems from affecting your enterprise.
  • 7
    Apparity Reviews
    Are you aware of how secure your spreadsheets are? Are you able to locate all of your spreadsheets? Do you know who is using them? Are they a risk to your business? If you know the answers to these questions, you are doing well. Most companies don't know the answers. Many companies don't have a plan for tracking down the spreadsheets that could lead to trouble. How can you avoid getting into trouble? It's very easy. Apparity is what you use. Apparity can find any spreadsheet you use and tell you what to do. Do you need to keep it in an inventory? Is it necessary to keep track of it? Can it be ignored? It is not easy to keep your company safe from costly errors. Apparity was created to help you do this. Apparity is simple to use for both users and managers. Apparity will alert you when there is a problem, from the moment you create your spreadsheet to the time it is modified or deleted. Apparity makes spreadsheets safe, secure, and tracks them.
  • 8
    Modelscape Reviews
    Modelscape helps financial institutions reduce the complexity in managing the lifecycles of financial models, while improving transparency, compliance, and model documentation. You can use automated documentation and artifact links by implementing the solution through the entire model lifecycle. Scale models, algorithms, and apps horizontally and vertically. Support enterprise infrastructure, tools, and languages like Python, R SAS, MATLAB, and SAS. Track issues throughout the model lifecycle using full model lineage reporting, issue tracking, and usage reporting. Use the executive dashboard to access model data, execute custom algorithms, automate workflows, and gain web-based access a comprehensive auditable inventory of models and dependencies. Models and methodologies can be developed, tested and documented. Transparency, reproducibility and reusability are improved. Automatically generate model reports and documentation.
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